Using biplots to interpret gene expression patterns in plants

Scott Chapman; Peer Schenk; Kemal Kazan; John Manners

doi:10.1093/bioinformatics/18.1.202

Using biplots to interpret gene expression patterns in plants

Bioinformatics. 2002 Jan;18(1):202-4. doi: 10.1093/bioinformatics/18.1.202.

Authors

Scott Chapman¹, Peer Schenk, Kemal Kazan, John Manners

Affiliation

¹ CSIRO Plant Industry, Long Pocket Laboratories, 120 Meiers Rd, Indooroopilly 4068, Australia. scott.chapman@csiro.au

PMID: 11836233
DOI: 10.1093/bioinformatics/18.1.202

Abstract

Plant biologists in fields of ecology, evolution, genetics and breeding frequently use multivariate methods. This paper illustrates Principal Component Analysis (PCA) and Gabriel's biplot as applied to microarray expression data from plant pathology experiments.

MeSH terms

Computational Biology
Gene Expression Profiling / statistics & numerical data*
Genes, Plant*
Internet
Multigene Family
Oligonucleotide Array Sequence Analysis / statistics & numerical data
Plants / genetics*
Principal Component Analysis